住房资源分异是社会分层的重要标志。本文调查了厦门市居民住房资源基本情况,结果表明,住房制度改革后,住房产权形式多样化,公房仍然是住房分配体系的重要来源。产权的拥有几率随收入、教育和家庭规模等因素存在递进式的增长,与居民对自身社会地位的认同存在正向的反馈作用。在此基础上,本文对住房分层的产生机制进行了分析。宏观数据的聚类分析表明,不同收入水平的住房消费分化且持续加剧,与住房改革进程保持一致。通过构建结构方程模型,研究住房产权与收入,教育和职业之间的耦合关系,收入对住房产权的效应最大,其次为教育程度,职业和家庭规模的影响最小。收入和产权共同对受访者自身社会地位的自我认同产生直接效应。收入与职业产生交互作用进一步表明,住房资源的分化既有经济因素,也有制度因素。本研究通过定量分析住房资源分化表现形式,分析其产生机制及效应,丰富了社会分层模式变迁的理论和实证,为深入住房制度改革提供科学依据。
China has tmdergone an institutional transition from welfare-oriented to market-oriented housing allo- cation system since the year of 1978. Housing reform was closely related to social change and economic reform. Thus, it has significant influences on socioeconomic conditions. Housing resource is an important indicator of social stratification. In this paper, Xiamen City is selected as a research area. The city incorporates a variety of residential patterns in different periods including transitional communities with local characters, post-reform communities, commercial communities and city villages. The housing resource data was obtained by spatial sam- pling and survey. We conducted a field study with 1075 face to face questionnaires. More than ten years after the housing allocation system was stopped, housing ownership was characterized with diversity in terms of income, education, family size and occupation. The empirical results showed that people have various sources to obtain houses. Commercial house in real estate was the primary housing source, accounting for 56% of the residents with house ownership. Public house was ranked as the second source, accounting for 33.4%, which was still an important source after the housing reform due to path dependence. The logistic regression results showed family income, education and family size, multiplied, increased the probability of housing ownership which has posi- tive feedback to self-identification of social status. Income and occupation have positive feedback to housing re- source. For non-public economy unit job holders and high income group, they have more opportunities to access the public houses at a lower price, and gained more profits in the real estate market. This paper explored the driv- ing mechanism of the housing stratification by using time series and cross-section data. The housing reform pro- cess was divided into four stages. The cluster analysis indicated the housing expenditure gap among low income, median income and high income groups, incre